Creating a Database Project for Artificial Intelligence

In this video we deploy the database project we created in the previous episode to SQL Azure while hitting on some cool pro tips and advice.
This is a continuation of the previous video, which can be located here:
https://channel9.msdn.com/Blogs/Have-you-tried-turning-it-off-and-on-again/Creating-a-Database-Project-for-Artificial-Intelligence
[00:00] - Introduction
[00:25] - Review Previous Episode
[01:23] - Quick Azure Overview
[03:07] - Quick Create SQL Azure Database + Pro Tips
[04:51] - Pro Tips - SQL Azure & PaaS
[06:32] - Publish & Connection Settings
[08:36] - Saving a Publish Profile
[09:03] - Resolving Target DB Issues
[09:51] - Publish Attempt 2 - using load profile + Pro Tips
[10:47] - Pro Tips - White Listing IP Address Ranges
[11:36] - Successful Publish + Verification
[13:39] - Conclusion
I have this working but the publishing takes 2 mins each time. I would like to do some makes some changes and test them quickly before publishing them live. There is no "local" version of SQl azure and I cant publish to local SQl server as the target database is SQl Azure.